How health systems can evaluate AI solutions to transform primary care delivery
As AI becomes more ingrained in healthcare operations, health system leaders must evaluate solutions with the same rigor applied to clinical and financial decisions.
A Health System’s Guide to Evaluating AI Solutions provides a primary care–first framework for assessing AI based on clinical relevance, workflow integration, scalability, and governance.
Developed by Lumeris clinical and strategy leaders, the guide helps executives make confident, defensible AI decisions that support long-term care transformation. It offers practical guidance for moving from experimentation to enterprise impact.
Key Learning Points:
A Health System’s Guide to Evaluating AI Solutions provides a primary care–first framework for assessing AI based on clinical relevance, workflow integration, scalability, and governance.
Developed by Lumeris clinical and strategy leaders, the guide helps executives make confident, defensible AI decisions that support long-term care transformation. It offers practical guidance for moving from experimentation to enterprise impact.
Key Learning Points:
- How to evaluate AI solutions using a structured framework aligned to primary care delivery and health system strategy
- The core criteria leaders should apply when assessing AI vendors, including clinical impact, operational fit, scalability, and governance
- What separates scalable, enterprise-ready AI from point solutions that fail to deliver sustained value
- How thoughtfully deployed AI can help strengthen primary care capacity and help improve outcomes
- How to evaluate AI vendors with a useful takeaway checklist that has been thoughtfully curated with experts in the space
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